Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/34670
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dc.titleA Statistical Argument for the Homophony Avoidance Approach to the Disyllabification of Chinese
dc.contributor.authorJIN WEN
dc.date.accessioned2012-09-12T18:00:58Z
dc.date.available2012-09-12T18:00:58Z
dc.date.issued2012-03-29
dc.identifier.citationJIN WEN (2012-03-29). A Statistical Argument for the Homophony Avoidance Approach to the Disyllabification of Chinese. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/34670
dc.description.abstractUnder the homophone avoidance (HA) theory (Guo 1938, Lü 1963, etc), monosyllabic words are disyllabified to avoid homophonous ambiguities. Lü (1963) predicts that if a language has more types of syllables, it should have more monosyllabic words than a language with fewer types of syllables because the number of homophones can be reduced by an increase in the number of syllable types. Duanmu (1999, 2007) claims that no supporting evidence has been found in Chinese. Feng (2000) also argues against the HA approach and claims that FOOT-BINARY motivate the disyllabification of Chinese. This thesis argues for the HA approach and provides supporting evidence from corpora of Mandarin Chinese, Cantonese, American English, Japanese and Hawaiian. Our discoveries support the HA approach motivation for the disyllabification of Chinese and applies cross-linguistically. The HA theory has interesting implications about the disyllabification of Chinese from a diachronic perspective, which are supposed to accompany the simplification of syllable structures in archaic Chinese.
dc.language.isoen
dc.subjectChinese disyllabification, disyllable, homophony avoidance, morphology, phonology, Chinese Linguisitics
dc.typeThesis
dc.contributor.departmentCHINESE STUDIES
dc.contributor.supervisorXU ZHENG
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF ARTS
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Master's Theses (Open)

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